新型电力系统建模、控制与源荷预测研究进展OA
Research progress on modeling,control,and source-load prediction of new-type power systems
当前,全球能源结构正经历深刻转型,以风能、太阳能为代表的可再生能源凭借其清洁性和可持续性,日益成为电力供应的关键组成部分.但这类能源固有的间歇性和波动性对电力系统的频率、电压及整体稳定性带来严峻挑战,威胁供电的安全性与可靠性.为有效应对上述挑战,电力系统亟须引入先进的技术与方法,以保障其运行的可靠性与效率.系统分析了仿真技术、频率调节策略以及人工智能在新型电力系统中的作用.深入剖析了混合仿真从传统串行到高效并行及智能化的发展路径,探讨了虚拟同步发电机与多类型储能在应对惯量下降和频率调控中的关键作用,并全面评估了人工智能在新能源发电预测、负荷预测及智能微电网调度中的最新进展与潜力.最后指出,应充分发挥储能技术和人工智能的支撑作用,构建更加灵活的市场机制和资源配置体系,为新型电力系统的稳定运行奠定基础.
Currently,the global energy structure is undergoing a profound transformation.Renewable energy sources represented by wind and solar power are increasingly becoming key components of power supply due to their cleanliness and sustainability.However,the inherent intermittency and volatility of these energy resources pose significant challenges to the frequency,voltage,and overall stability of power systems,threatening the security and reliability of power supply.To address these challenges effectively,it is crucial to integrate advanced technologies and methods to ensure reliable and efficient operation of power systems.The roles of simulation technologies,frequency regulation strategies,and artificial intelligence in new-type power systems are systematically analyzed.The evolution of hybrid simulation,from traditional serial methods to high-performance parallel and intelligent approaches,is analyzed in depth.The key roles of virtual synchronous generators and multi-type energy storage in mitigating inertia reduction and frequency regulation are examined.Additionally,recent advances and potential of artificial intelligence in renewable energy power generation prediction,load prediction,and smart microgrid scheduling are comprehensively evaluated.It is emphasized that the supporting roles of energy storage technologies and artificial intelligence should be fully leveraged,and more flexible market mechanisms and resource allocation systems should be established,thereby laying a foundation for the stable operation of new-type power systems.
丁新宇;周庆才;迟耀丹;张尧;王俊喜;王超;贾红丹;林国雄
吉林建筑大学 电气与计算机学院,长春 130118吉林建筑大学 寒地建筑综合节能教育部重点实验室,长春 130118吉林建筑大学 电气与计算机学院,长春 130118||吉林建筑大学 寒地建筑综合节能教育部重点实验室,长春 130118吉林建筑大学 寒地建筑综合节能教育部重点实验室,长春 130118吉林建筑大学 寒地建筑综合节能教育部重点实验室,长春 130118吉林建筑大学 电气与计算机学院,长春 130118||吉林建筑大学 寒地建筑综合节能教育部重点实验室,长春 130118吉林建筑大学 寒地建筑综合节能教育部重点实验室,长春 130118吉林建筑大学 电气与计算机学院,长春 130118
能源科技
新型电力系统可再生能源电力系统仿真调频发电预测能源管理系统人工智能储能智能微电网调度
new-type power systemrenewable energypower system simulationfrequency regulationpower generation regulationenergy management systemartificial intelligenceenergy storagesmart microgrid scheduling
《综合智慧能源》 2026 (3)
1-14,14
吉林省科学技术厅基金项目(20240304183SF) Jilin Provincial Science and Technology Department Fund Project(20240304183SF)
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